Calais vs Quevilly: result 0-2 and analysis
National 2 - Group ARegular Season - 2Kick-off on August 23, 2014 at 04:00 PM (UTC)Stade de l'Epopée, Calais
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What was the result of Calais vs Quevilly?
Quevilly won 0-2 on August 23, 2014.
Goalscorers
- 13′J. ColinetQuevilly
- 33′F. WeisQuevilly
Official lineup for Calais vs Quevilly
The starting elevens fielded at kick-off.
Calais
- 9B. Dramé
- 11Alexandre Danset
- 2J. Saint-Maxin
- 6Johann Chauvin
- 7C. Brunet
- 8Samuel Marque
- 10J. Gomez
- 3Alexandre Gobert
- 4G. Delannoy
- 5Frédéric Gaillard
- 1K. Demassieux
Quevilly
- 9A. Sarr
- 10M. Géran
- 11J. Colinet
- 6D. Biaou
- 8A. Rogie
- 2J. Mortoire
- 3J. Gobron
- 4F. Weis
- 5J. Albert
- 7A. Archimbaud
- 1S. Morris
What is the recent form of both teams?
Over their last 3 matches in all competitions, Calais have 1 win, 1 draw and 1 defeat; Quevilly have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2014 | Lens II(away) | 0-0 | National 2 - Group A |
| Dec 10, 2011 | Angers(home) | 1-2 | Coupe de France |
| Nov 19, 2011 | Longuenesse(away) | 3-1 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2014 | Sannois-St-Gratien(home) | 1-0 | National 2 - Group A |
| May 17, 2014 | Amiens AC(away) | 0-1 | National 2 - Group A |
| May 10, 2014 | Ivry(home) | 3-1 | National 2 - Group A |
| May 3, 2014 | Aubervilliers(away) | 2-2 | National 2 - Group A |
| Apr 26, 2014 | Dieppe(home) | 2-0 | National 2 - Group A |
How many goals should we expect?
Calais score 1.3 and concede 1.0 goals per match over their last 3; Quevilly score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Calais | 1.3 | 1.0 | 1 | 2/3 | 2/3 |
| Quevilly | 1.2 | 1.2 | 5 | 6/15 | 7/15 |
Over the last 3 matches in all competitions.
A question about Calais vs Quevilly?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy